Visual Object Tracking with Colored Measurement Noise using Kalman and UFIR Filters.
Yuriy S. ShmaliyJosé A. Andrade-LucioEli Pale-RamonJorge Ortega-ContrerasLuis J. Morales-MendozaMario González-LeePublished in: CCE (2020)
Keyphrases
- measurement noise
- visual object tracking
- kalman filtering
- kalman filter
- object tracking
- mean shift
- particle filtering
- particle filter
- sparse representation
- feature space
- machine learning
- pattern recognition
- visual tracking
- image sequences
- training set
- search algorithm
- appearance model
- median filter
- multiple instance learning
- feature selection
- learning algorithm